The Optimization Problems of Informational Servicing Logistics Systems by Using Queuing Theory

Authors(1) :-Safwan Al-Salaimeh

The logistics, as a cognition form, is known from the great antiquity. Originally, the art of rational measuring, skilled computing and logical conclusions were in its competence. The informational and computer maintenance of such kind of systems may appear in two hypostasis: first, as the informational or computer support of made decisions for a concrete type of logistic system; secondly, as the independent logistic information management system (LIMS). This paper reviews optimization problems of informational servicing logistics systems (ISLS) management in problems class, which can be solved by the queuing system (QS) theory. Examples of mathematics models building and effective algorithm development for quasi- optimal management of informational servicing logistics systems are presented.

Authors and Affiliations

Safwan Al-Salaimeh
Department of Software Engineering, Faculty of Computer Science and Information Technology, Aqaba University of Technology. Aqaba, Jordan

Information, Logistics, Optimization, Coordination, Functioning Effectiveness

  1. Magee J., Capacino W., Rosenfield D.: Modern logistics management, NY:McHill, 2000, 436.
  2. Ronal H., Ballow: Basic business logistics, NY, McHill, 2001, 438.
  3. Martin J.: System analysis for Data transmission, Part2, -NJ:prentice - Hall, 2005, 432.
  4. Bertsekas D., Gallager R.: Data network, NJ: Prentice - Hall, 2006, 544.
  5. Safwan Al Salaimeh, Mohammad Bani Younes, 2014 Functional Structure of Special Computerized Information System. Journal of Environmental Science, Computer Science and Engineering & Technology. December 2014-February Sec. B; Vol.4.No.1, 52-56. 2012
  6. Safwan Al Salaimeh, Amer Abu Zaher Developing Enterprise system with CORBA and JAVA integrated Technologies, Journal annals computer Science Series, Vol 9. No1, 2011. Romania;
  7. Safwan Al Salaimeh, Pushkarev A.N. Preliminary assessment for the effectiveness of the principles of logistics information management system., International Journal of Computer Science and Telecommunications, Volume 2, Issue 9, December 2011, UK
  8. Khaled Batiha, Safwan Al Salaimeh, (2016) Development sustainable algorithm optimal resource allocation in information logistics systems. International journal of computer applications (IJCA), March 2016 edition. USA.
  9. Mohammad Bani Younes, Safwan Al Salaimeh, The Optimal Allocation of SimulationResource in Logistics Information Systems. International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 2, February 2015.
  10. Safwan Al Salaimeh, Zafer Makadmeh, Multi-Criteria Synthesis of Logistics Systems Through the Hierarchy Analysis, Journal of System Sciences, Poland University of Technology, 107- 115, Poland.
  11. Al Salaimeh safwan, Hanna jabber, 2008 Weights Adjustment Neural Networks. European Journal of Scientific Research (EJSR) / Vol.21 No.2, pp.314-318, (2008), UK.
  12. Safwan Al Salaimeh, Quality Assurance of Logistics Information System. American Journal of Scientific Research (AJSR)./ Issue 1, Jan, pp 34-36. UK.
  13. Khaldoun Al besoul , Safwan Al Salaimeh, The Structure of logistics organizational technological system, Journal information society, Vol.4, Num. 7, June, 2007, Romania.

Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 273-277
Manuscript Number : CSEIT1725190
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Safwan Al-Salaimeh, "The Optimization Problems of Informational Servicing Logistics Systems by Using Queuing Theory", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.273-277, November-December-2017. |          | BibTeX | RIS | CSV

Article Preview